Frank Noรฉ์˜ ์ดˆ์ƒํ™”

Frank Noรฉ

Partner Research Manager

๋‰ด์Šค & ๊ธฐ๋Šฅ

์–ด์›Œ๋“œ | University of Wisconsin - Madison

2025 Hirschfelder Award Banquet celebrates Dr. Frank Noรฉ 

The 2025โ€“2026 Joseph O. Hirschfelder Prize in Theoretical Chemistry was awarded to Dr. Frank Noรฉ, Partner Research Manager at Microsoft Research AI for Science on October 21, 2025 at the Hirschfelder Award Banquet held at Maple Bluff Country Club. The…

์–ด์›Œ๋“œ | University of Wisconsinโ€“Madison

Frank Noรฉ receives Joseph O. Hirschfelder Prize in Theoretical Chemistry 

Noรฉ is a pioneer in integrating artificial intelligence with theoretical chemistry.

The image shows eight different 3D models of protein structures. Each model is color-coded with various segments in blue, green, orange, and other colors to highlight different parts of the protein.
Microsoft Research ๋ธ”๋กœ๊ทธ

| Sarah Lewis, Tim Hempel, Jose Jimenez-Luna, Michael Gastegger, Yu Xie, Victor Garcรญa Satorras, Osama Abdin, Bas Veeling, Ryota Tomioka, ๊ทธ๋ฆฌ๊ณ  Frank Noรฉ

Meet BioEmu-1 from Microsoft Research. This deep learning model can generate thousands of protein structures per hour, unlocking new possibilities for protein scientists and drug discovery and research.

์–ด์›Œ๋“œ | American Physical Society

Frank Noรฉ, American Physical Society Fellow 

The AI for Science partner research manager received this distinction for the development of machine learning methods for advancing the physical sciences, in particular for the many-body sampling problem and the electronic structure problem.

A schematic diagram illustrating the goal of Distributional Graphormer (DiG). A molecular system is represented by a basic descriptor D, such as the amino acid sequence for a protein. DiG transforms D into a structural ensemble S, which consists of multiple possible conformations and their probabilities. S is expected to follow the equilibrium distribution of the molecular system. A legend shows a example of D and S for Adenylate kinase protein.
Microsoft Research ๋ธ”๋กœ๊ทธ

| Shuxin Zheng, Chang Liu, Yu Shi, Ziheng Lu, Fusong Ju, Jianwei Zhu, Hongxia Hao, Peiran Jin, Frank Noรฉ, Haiguang Liu, ๊ทธ๋ฆฌ๊ณ  Tie-Yan Liu

Distributional Graphormer, Microsoftโ€™s new deep learning framework for predicting the equilibrium distribution of molecular structures, can generate realistic and diverse molecular structures with high efficiency and low cost.

๋‰ด์Šค์—์„œ | Tagesspiegel Background Digitalisierung und AI

Portrรคt von Frank Noรฉ 

Im Rahmen des Microsoft-Forschungsprogramms โ€žAI4Scienceโ€œ arbeitet ein globales Team an Standorten in Europa, Asien und den USA an der Frage, wasย Methoden des maschinellen Lernensย zur Lรถsung naturwissenschaftlicher Probleme beitragen kรถnnen. Seit Anfang Oktober gibt es auch in Berlin ein Lab. Geleitet…

๋‰ด์Šค์—์„œ | Microsoft Germany News Center

Naturwissenschaftliche Durchbrรผche mit Deep Learning: Microsoft erรถffnet Research Lab in Berlin 

Deep Learning wird in der kommenden Dekade einen transformierenden Einfluss auf die Naturwissenschaften haben. Die Technologie wird die Fรคhigkeiten zur Modellierung und Vorhersage natรผrlicher Phรคnomene drastisch verbessern. Mit Emulatoren werden molekรผlgetreue Modellierungen komplexer Systeme in kรผnstlichen neuronalen Netzen mรถglich, die…

๋‰ด์Šค์—์„œ | KI and Digitization-Newsletter from Tagesspiegel

KI: Microsoft erรถffnet Research Lab in Berlin 

Microsoft verstรคrkt seine Forschungsaktivitรคten im Bereich Kรผnstliche Intelligenz und erรถffnet dazu einย Research Lab in Berlin. Geleitet wird es vonย Frank Noรฉ, der bislang als Professor fรผr Mathematische Modellierung in den Biowissenschaften am Fachbereich Mathematik & Informatik der Freien Universitรคt Berlin tรคtig…