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February 2026

February 26

Hosted Activity

TWAS Steering Committee Meeting | (smr H730)

February 25

Thomas E. Markland (Stanford University)

Condensed Matter and Statistical Physics

CMSP Seminar (Atomistic Simulation Seminar Series): Using AI to push the limits of 1D NMR for structure elucidation

February 24

Ataç İmamoğlu

Ataç İmamoğlu

ICTP Colloquium: Optical Investigation of Strongly Correlated Electrons

Budinich Lecture Hall and via streaming

Leonardo Building - Budinich Lecture Hall

Thomas E. Markland (Stanford University)

Condensed Matter and Statistical Physics

CMSP Lecture series - Path Integral Quantum Mechanics: From the Basics to the Latest Developments in the Era of Machine Learning - LECTURE 4

Thomas E. Markland (Stanford University)

Condensed Matter and Statistical Physics

CMSP Lecture series - Path Integral Quantum Mechanics: From the Basics to the Latest Developments in the Era of Machine Learning - LECTURE 3

February 23

Thomas E. Markland (Stanford University)

Condensed Matter and Statistical Physics

CMSP Lecture series - Path Integral Quantum Mechanics: From the Basics to the Latest Developments in the Era of Machine Learning - LECTURE 2

Thomas E. Markland (Stanford University

Condensed Matter and Statistical Physics

CMSP Lecture series - Path Integral Quantum Mechanics: From the Basics to the Latest Developments in the Era of Machine Learning - LECTURE 1

Application Closed

WCRP-WGSIP School on Climate Prediction Across Timescales | (smr 4188)

Earth System Physics

Application Closed

Workshop on Impurity Problems in Quantum Mixtures: from Ultracold Gases to Electron Matter | (smr 4208)

Condensed Matter and Statistical Physics

February 16

Arvind Ayyer (Indian Institute of Science, Bangalore)

An inhomogeneous q-deformation of the Tsetlin Library

Application Closed

scientific activity

Spring College in the Physics of Complex Systems | (smr 4207)

Quantitative Life Sciences

February 13

Kaining ZHANG, Quantitative Life Sciences Section

Quantitative Life Sciences

QLS Seminar - Memory Capacity, Novelty Encoding, and Continual Learning in Biologically Plausible Neural Networks