{"id":939369,"date":"2023-05-10T09:00:00","date_gmt":"2023-05-10T16:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?p=939369"},"modified":"2023-05-10T07:31:35","modified_gmt":"2023-05-10T14:31:35","slug":"research-focus-week-of-may-8-2023","status":"publish","type":"post","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/blog\/research-focus-week-of-may-8-2023\/","title":{"rendered":"Research Focus: Week of May 8, 2023"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"193\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-banner-1400x264-1-1024x193.jpg\" alt=\"Microsoft Research Focus 15 | Week of May 8, 2023\" class=\"wp-image-939375\" srcset=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-banner-1400x264-1-1024x193.jpg 1024w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-banner-1400x264-1-300x57.jpg 300w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-banner-1400x264-1-768x145.jpg 768w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-banner-1400x264-1-240x45.jpg 240w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-banner-1400x264-1.jpg 1400w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-pullquote\"><blockquote><p><em class=\"\">Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code\/datasets, new hires and other milestones from across the research community at Microsoft.<\/em><\/p><\/blockquote><\/figure>\n\n\n<aside id=accordion-6e5a75a9-bb15-4af7-9e15-c1239528bb25 class=\"msr-table-of-contents-block accordion mb-5 pb-0\" data-bi-aN=\"table-of-contents\">\n\t<button class=\"btn btn-collapse bg-gray-100 mb-0 display-flex justify-content-between\" type=\"button\" data-mount=\"collapse\" data-target=\"#accordion-collapse-6e5a75a9-bb15-4af7-9e15-c1239528bb25\" aria-expanded=\"true\" aria-controls=\"accordion-collapse-6e5a75a9-bb15-4af7-9e15-c1239528bb25\">\n\t\t<span class=\"msr-table-of-contents-block__label subtitle\">In this article<\/span>\n\t\t<span class=\"msr-table-of-contents-block__current mr-4 text-gray-600 font-weight-normal\" aria-hidden=\"true\"><\/span>\n\t<\/button>\n\t<div id=\"accordion-collapse-6e5a75a9-bb15-4af7-9e15-c1239528bb25\" class=\"msr-table-of-contents-block__collapse-wrapper collapse show\" data-parent=\"#accordion-6e5a75a9-bb15-4af7-9e15-c1239528bb25\">\n\t\t<div class=\"accordion-body bg-gray-100 border-top pt-4\">\n\t\t\t<ol class=\"msr-table-of-contents-block__list\">\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#microsofts-danah-boyd-awarded-mits-morison-prize\" class=\"msr-table-of-contents-block__list-item-link\">Microsoft\u2019s danah boyd awarded MIT\u2019s Morison Prize<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#microsofts-nicole-immorlica-receives-2023-sigecom-test-of-time-award\" class=\"msr-table-of-contents-block__list-item-link\">Microsoft\u2019s Nicole Immorlica receives 2023 SIGecom Test of Time Award<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#microsofts-lorin-crawford-named-2023-copss-emerging-leader\" class=\"msr-table-of-contents-block__list-item-link\">Microsoft\u2019s Lorin Crawford named 2023 COPSS Emerging Leader<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#microsoft-researchers-receive-test-of-time-award-for-personalized-news-recommendation-work\" class=\"msr-table-of-contents-block__list-item-link\">Microsoft researchers receive Test of Time award for personalized news recommendation work<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#a-frequency-domain-approach-to-predict-power-system-transients\" class=\"msr-table-of-contents-block__list-item-link\">A Frequency Domain Approach to Predict Power System Transients<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#inference-with-reference-lossless-acceleration-of-large-language-models\" class=\"msr-table-of-contents-block__list-item-link\">Inference with Reference: Lossless Acceleration of Large Language Models<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#high-throughput-ab-initio-reaction-mechanism-exploration-in-the-cloud-with-automated-multi-reference-validation\" class=\"msr-table-of-contents-block__list-item-link\">High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t<\/ul>\n\t\t<\/div>\n\t<\/div>\n\t<span class=\"msr-table-of-contents-block__progress-bar\"><\/span>\n<\/aside>\n\n\n\n<h6 id=\"award\" class=\"wp-block-heading has-blue-color has-text-color\">AWARD<\/h6>\n\n\n\n<h2 id=\"microsofts-danah-boyd-awarded-mits-morison-prize\" class=\"wp-block-heading\">Microsoft\u2019s danah boyd awarded MIT\u2019s Morison Prize<\/h2>\n\n\n\n<p><a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/people\/dmb\/\">danah boyd<\/a>, a partner researcher at Microsoft Research, has been awarded MIT&#8217;s <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/sts-program.mit.edu\/event\/2023-morison\/\" target=\"_blank\" rel=\"noopener noreferrer\">Morison Prize in Science, Technology, and Society<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, for outstanding work combining humanistic values with effectiveness in the world of practical affairs, particular in science and technology.<\/p>\n\n\n\n<p>Dr. boyd, who is also a Distinguished Visiting Professor at Georgetown University, is currently conducting a multi-year ethnographic study of the U.S. census to understand how data are made legitimate. Her previous studies have focused on media manipulation, algorithmic bias, privacy practices, social media, and teen culture.&nbsp;<\/p>\n\n\n\n<p>To learn more, see the Microsoft Research Summit presentation <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/video\/plenary-statistical-imaginaries-an-ode-to-responsible-data-science\/\" target=\"_blank\" rel=\"noreferrer noopener\">Statistical Imaginaries: An Ode to Responsible Data Science<\/a> or the publications <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/hdsr.mitpress.mit.edu\/pub\/3vj5j6i0\/release\/3\" target=\"_blank\" rel=\"noopener noreferrer\">Differential Perspectives: Epistemic Disconnects Surrounding the U.S. Census Bureau\u2019s Use of Differential Privacy<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--1\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/sts-program.mit.edu\/event\/2023-morison\/\" target=\"_blank\" rel=\"noreferrer noopener\">Award announcement<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<h6 id=\"award\" class=\"wp-block-heading has-blue-color has-text-color\">AWARD<\/h6>\n\n\n\n<h2 id=\"microsofts-nicole-immorlica-receives-2023-sigecom-test-of-time-award\" class=\"wp-block-heading\">Microsoft\u2019s Nicole Immorlica receives 2023 SIGecom Test of Time Award<\/h2>\n\n\n\n<p><a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/people\/nicimm\/\">Nicole Immorlica<\/a>, a Senior Principal Researcher with Microsoft Research New England, has been awarded the<strong> <\/strong><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.sigecom.org\/award-tot.html\" target=\"_blank\" rel=\"noopener noreferrer\">2023 SIGecom Test of Time Award<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> for her work on a 2005 paper on matching markets. The award from the Association of Computing Machinery (ACM) recognizes \u201can influential paper or series of papers published between ten and twenty-five years ago that has significantly impacted research or applications exemplifying the interplay of economics and computation.\u201d&nbsp;<\/p>\n\n\n\n<p>In the award-winning paper: <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/marriage-honesty-and-stability\/\" target=\"_blank\" rel=\"noreferrer noopener\">Marriage, honesty, and stability<\/a>, Immorlica and a co-author explored centralized two-sided markets, such as the medical residency market, matching participants by running a stable marriage algorithm. While no matching mechanism based on a stable marriage algorithm can guarantee \u2018truthfulness\u2019 as a dominant strategy, the paper showed that in certain probabilistic settings, truthfulness is the best strategy for the participants.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--2\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.sigecom.org\/award-tot.html\" target=\"_blank\" rel=\"noreferrer noopener\">Award announcement<\/a><\/div>\n<\/div>\n\n\n\n\t<div class=\"border-bottom border-top border-gray-300 mt-5 mb-5 msr-promo text-center text-md-left alignwide\" data-bi-aN=\"promo\" data-bi-id=\"999693\">\n\t\t\n\n\t\t<p class=\"msr-promo__label text-gray-800 text-center text-uppercase\">\n\t\t<span class=\"px-4 bg-white display-inline-block font-weight-semibold small\">Spotlight: Event Series<\/span>\n\t<\/p>\n\t\n\t<div class=\"row pt-3 pb-4 align-items-center\">\n\t\t\t\t\t\t<div class=\"msr-promo__media col-12 col-md-5\">\n\t\t\t\t<a class=\"bg-gray-300 display-block\" href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/event\/microsoft-research-forum\/past-episodes\/?OCID=msr_researchforum_MCR_Blog_Promo\" aria-label=\"Microsoft Research Forum\" data-bi-cN=\"Microsoft Research Forum\" target=\"_blank\">\n\t\t\t\t\t<img decoding=\"async\" class=\"w-100 display-block\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2025\/05\/Research-Forum-hero_1400x788.jpg\" alt=\"Research Forum | abstract background with colorful hexagons\" \/>\n\t\t\t\t<\/a>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"msr-promo__content p-3 px-5 col-12 col-md\">\n\n\t\t\t\t\t\t\t\t\t<h2 class=\"h4\">Microsoft Research Forum<\/h2>\n\t\t\t\t\n\t\t\t\t\t\t\t\t<p id=\"microsoft-research-forum\" class=\"large\">Join us for a continuous exchange of ideas about research in the era of general AI. Watch the latest episodes on demand.<\/p>\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"wp-block-buttons justify-content-center justify-content-md-start\">\n\t\t\t\t\t<div class=\"wp-block-button\">\n\t\t\t\t\t\t<a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/event\/microsoft-research-forum\/past-episodes\/?OCID=msr_researchforum_MCR_Blog_Promo\" aria-describedby=\"microsoft-research-forum\" class=\"btn btn-brand glyph-append glyph-append-chevron-right\" data-bi-cN=\"Microsoft Research Forum\" target=\"_blank\">\n\t\t\t\t\t\t\tWatch on-demand\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div><!--\/.msr-promo__content-->\n\t<\/div><!--\/.msr-promo__inner-wrap-->\n\t<\/div><!--\/.msr-promo-->\n\t\n\n\n<h6 id=\"award\" class=\"wp-block-heading has-blue-color has-text-color\">AWARD<\/h6>\n\n\n\n<h2 id=\"microsofts-lorin-crawford-named-2023-copss-emerging-leader\" class=\"wp-block-heading\">Microsoft\u2019s Lorin Crawford named 2023 COPSS Emerging Leader<\/h2>\n\n\n\n<p><a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/people\/lcrawford\/\">Lorin Crawford<\/a>, a principal researcher at Microsoft Research New England, has been named a <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/imstat.org\/2023\/03\/31\/meet-the-2023-copss-emerging-leader-awardees\/\" target=\"_blank\" rel=\"noopener noreferrer\">2023 COPSS Emerging Leader<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> by the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/community.amstat.org\/copss\/home\" target=\"_blank\" rel=\"noopener noreferrer\">Committee of Presidents of Statistical Societies<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. The award announcement cited Crawford\u2019s path-breaking research combining theory and methods of mathematics, statistics and computing to generate new knowledge and insight about the genetic basis of disease, and exceptional mentoring of students from multiple scientific disciplines.<\/p>\n\n\n\n<p>The award recognizes the important role of early-career statistical scientists in shaping the future of their discipline.\u202fThe selection criteria are designed to highlight contributions in areas not traditionally recognized by other early-career awards in the statistical sciences.<\/p>\n\n\n\n<p>Crawford, who is also a faculty member at Brown University\u2019s School of Public Health, focuses on developing novel and efficient algorithms that address complex problems in quantitative genetics, cancer pharmacology, molecular genomics, and geometric morphometrics.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--3\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/imstat.org\/2023\/03\/31\/meet-the-2023-copss-emerging-leader-awardees\/\" target=\"_blank\" rel=\"noreferrer noopener\">Award announcement<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<h6 id=\"award\" class=\"wp-block-heading has-blue-color has-text-color\">AWARD<\/h6>\n\n\n\n<h2 id=\"microsoft-researchers-receive-test-of-time-award-for-personalized-news-recommendation-work\" class=\"wp-block-heading\">Microsoft researchers receive Test of Time award for personalized news recommendation work<\/h2>\n\n\n\n<p>A paper co-authored by two Microsoft researchers has received a <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.iw3c2.org\/papers\/PressRelease-ToT-Award-20230502.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">2023 Seoul Test of Time Award<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> from the International World Wide Web Conference Committee (IW3C2). The 2020 paper: <em><a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/a-contextual-bandit-approach-to-personalized-news-article-recommendation-3\/\">A Contextual-Bandit Approach to Personalized News Article Recommendation<\/a><\/em>, was written by <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/people\/jcl\/\">John Langford<\/a> and <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/people\/schapire\/\">Robert Schapire<\/a>, along with two industry colleagues. The authors proposed a new approach for personalized recommendation using contextual bandit algorithms. According to the IW3C2, the paper now has more than 2,730 citations and has become foundational research in the area of recommendation systems.<\/p>\n\n\n\n<p>The award announcement also states: \u201cThe paper addressed fundamental challenges in real-world recommendation systems via computationally efficient algorithms grounded in learning theory. It also showed that recommendation algorithms can be reliably evaluated offline, enabling algorithm selection without operational impact, and that contextual bandits can yield significant gains in user engagement.&#8221;<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--4\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.iw3c2.org\/papers\/PressRelease-ToT-Award-20230502.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Award announcement<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<h6 id=\"new-research\" class=\"wp-block-heading has-blue-color has-text-color\">NEW RESEARCH<\/h6>\n\n\n\n<h2 id=\"a-frequency-domain-approach-to-predict-power-system-transients\" class=\"wp-block-heading\">A Frequency Domain Approach to Predict Power System Transients<\/h2>\n\n\n\n<p>The dynamics of power grids are governed by a large number of nonlinear differential and algebraic equations (DAEs). To safely run the system, operators need to check that the states described by these DAEs stay within prescribed limits after various potential faults. However, current numerical solvers of DAEs are often too slow for real-time system operations. In addition, detailed system parameters are often not exactly known. Machine learning approaches have been proposed to reduce the computational efforts, but existing methods generally suffer from overfitting and failures to predict unstable behaviors.<\/p>\n\n\n\n<p>In a new paper: <em><a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/a-frequency-domain-approach-to-predict-power-system-transients\/\">A Frequency Domain Approach to Predict Power System Transients<\/a><\/em>, Microsoft researchers propose a novel framework to predict power system transients by learning in the frequency domain. The intuition is that although the system behavior is complex in the time domain, relatively few dominant modes exist in the frequency domain. Therefore, the researchers learn to predict by constructing neural networks with Fourier transform and filtering layers. System topology and fault information are encoded by taking a multi-dimensional Fourier transform, allowing researchers to leverage the fact that the trajectories are sparse both in time and spatial frequencies. This research shows that the proposed approach does not need detailed system parameters, greatly speeds up prediction computations and is highly accurate for different fault types.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--5\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/a-frequency-domain-approach-to-predict-power-system-transients\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the paper<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<h6 id=\"new-research\" class=\"wp-block-heading has-blue-color has-text-color\">NEW RESEARCH<\/h6>\n\n\n\n<h2 id=\"inference-with-reference-lossless-acceleration-of-large-language-models\" class=\"wp-block-heading\">Inference with Reference: Lossless Acceleration of Large Language Models<\/h2>\n\n\n\n<p>The growing use of large foundation models like GPT-3.5\/4 for real-world applications has raised concerns about high deployment costs. While general methodologies such as quantization, pruning, compression, and distillation help reduce costs. At test time, output tokens must be decoded (sequentially) one by one, which poses significant challenges for LLMs to be deployed at scale.<\/p>\n\n\n\n<p>In a new paper: <em><a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/inference-with-reference-lossless-acceleration-of-large-language-models\/\">Inference with Reference: Lossless Acceleration of Large Language Models<\/a><\/em>, Microsoft researchers study accelerating LLM inference by improving the efficiency of autoregressive decoding. In multiple real-world applications, this research shows that an LLM\u2019s output tokens often come from its context. For example, in a retrieval-augmented generation scenario for a search engine, an LLM\u2019s context usually includes relevant documents retrieved from an external corpus as reference according to a query, and its output usually contains many text spans found in the reference (i.e., retrieved documents). Motivated by this observation, the researchers propose an LLM accelerator (LLMA) to losslessly speed inference with references. Its improved computational parallelism allows LLMA to achieve over 2x speed-up for LLMs, with identical generation results as greedy decoding, in many practical generation scenarios where significant overlap between in-context reference and outputs exists. The researchers are collaborating with the Bing search team to explore integrating this technique into snippet\/caption generation, Bing chat, and other potential scenarios.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--6\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/inference-with-reference-lossless-acceleration-of-large-language-models\/\">Read the paper<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<h6 id=\"new-research\" class=\"wp-block-heading has-blue-color has-text-color\">NEW RESEARCH<\/h6>\n\n\n\n<h2 id=\"high-throughput-ab-initio-reaction-mechanism-exploration-in-the-cloud-with-automated-multi-reference-validation\" class=\"wp-block-heading\">High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation<\/h2>\n\n\n\n<p>Quantum chemical calculations on atomistic systems have evolved into a standard approach to studying molecular matter. But these calculations often involve a significant amount of manual input and expertise. Most of these calculations could be automated, alleviating the need for expertise in software and hardware accessibility.<\/p>\n\n\n\n<p>In a new paper: <em><a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/high-throughput-ab-initio-reaction-mechanism-exploration-in-the-cloud-with-automated-multi-reference-validation\/\">High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation<\/a><\/em>, researchers from Microsoft present the AutoRXN workflow, an automated workflow for exploratory high-throughput electronic structure calculations of molecular systems.<\/p>\n\n\n\n<p>This workflow i) uses density functional theory methods to deliver minimum and transition-state structures and corresponding energies and properties, (ii) launches coupled cluster calculations for optimized structures to provide more accurate energy and property estimates, and (iii) evaluates multi-reference diagnostics to back check the coupled cluster results and subjects them to automated multi-configurational calculations for potential multi-configurational cases.<\/p>\n\n\n\n<p>All calculations take place in a cloud environment and support massive computational campaigns. Key features of all components of the AutoRXN workflow are autonomy, stability, and minimum operator interference.<\/p>\n\n\n\n<p>The paper was recently published in the <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/aip.scitation.org\/doi\/10.1063\/5.0136526\" target=\"_blank\" rel=\"noopener noreferrer\">Journal of Chemistry and Physics<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--7\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/high-throughput-ab-initio-reaction-mechanism-exploration-in-the-cloud-with-automated-multi-reference-validation\/\">Read the paper<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>In this issue: Microsoft researchers win four more awards; AutoRXN automates calculations of molecular systems; LLM accelerator losslessly improves the efficiency of autoregressive decoding; a frequency domain approach to predict power system transients. <\/p>\n","protected":false},"author":42735,"featured_media":939372,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[],"msr_hide_image_in_river":0,"footnotes":""},"categories":[1],"tags":[],"research-area":[13561,13556,13548,13545,13553,243138,13559,13547],"msr-region":[],"msr-event-type":[],"msr-locale":[268875],"msr-post-option":[243984],"msr-impact-theme":[],"msr-promo-type":[],"msr-podcast-series":[],"class_list":["post-939369","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-blog","msr-research-area-algorithms","msr-research-area-artificial-intelligence","msr-research-area-economics","msr-research-area-human-language-technologies","msr-research-area-medical-health-genomics","msr-research-area-quantum","msr-research-area-social-sciences","msr-research-area-systems-and-networking","msr-locale-en_us","msr-post-option-blog-homepage-featured"],"msr_event_details":{"start":"","end":"","location":""},"podcast_url":"","podcast_episode":"","msr_research_lab":[199560,199563,199565],"msr_impact_theme":[],"related-publications":[],"related-downloads":[],"related-videos":[],"related-academic-programs":[],"related-groups":[144735,330695,332906,703342,761911,780706,901101],"related-projects":[],"related-events":[],"related-researchers":[],"msr_type":"Post","featured_image_thumbnail":"<img width=\"960\" height=\"540\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-hero-1400x788-1-960x540.jpg\" class=\"img-object-cover\" alt=\"Microsoft Research Focus 15 | Week of May 8, 2023\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-hero-1400x788-1-960x540.jpg 960w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-hero-1400x788-1-300x169.jpg 300w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-hero-1400x788-1-1024x576.jpg 1024w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-hero-1400x788-1-768x432.jpg 768w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-hero-1400x788-1-1066x600.jpg 1066w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-hero-1400x788-1-655x368.jpg 655w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-hero-1400x788-1-343x193.jpg 343w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-hero-1400x788-1-240x135.jpg 240w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-hero-1400x788-1-640x360.jpg 640w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-hero-1400x788-1-1280x720.jpg 1280w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF15-blog-hero-1400x788-1.jpg 1400w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/>","byline":"","formattedDate":"May 10, 2023","formattedExcerpt":"In this issue: Microsoft researchers win four more awards; AutoRXN automates calculations of molecular systems; LLM accelerator losslessly improves the efficiency of autoregressive decoding; a frequency domain approach to predict power system transients.","locale":{"slug":"en_us","name":"English","native":"","english":"English"},"_links":{"self":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/posts\/939369","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/users\/42735"}],"replies":[{"embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/comments?post=939369"}],"version-history":[{"count":18,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/posts\/939369\/revisions"}],"predecessor-version":[{"id":941475,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/posts\/939369\/revisions\/941475"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media\/939372"}],"wp:attachment":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media?parent=939369"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/categories?post=939369"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/tags?post=939369"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=939369"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=939369"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=939369"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=939369"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=939369"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=939369"},{"taxonomy":"msr-promo-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-promo-type?post=939369"},{"taxonomy":"msr-podcast-series","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-podcast-series?post=939369"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}