Behind nature's blueprints: Physicists create 'theoretical rulebook' of self-assembly

Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The challenge: the process seemed random and notoriously difficult to predict.
IEEE

Residual-Enhanced Physics-Guided Machine Learning With Hard Constraints for Subsurface Flow in Reservoir Engineering

Abstract: Subsurface flow is the core of reservoir engineering. Research on subsurface flow problems can enhance our understanding of the development status of oilfields, thus enabling the prediction ...
GitHub

HessianForge: Scalable LiDAR reconstruction with Physics-Informed Neural Representation and Smoothness Energy Constraints

Accurate and efficient 3D mapping of large-scale outdoor environments from LiDAR measurements is a fundamental challenge in robotics, particularly towards ensuring smooth and artifact-free surface ...
IEEE

A Data-Driven Dynamics Simulation Model for Railway Vehicles Based on Lightweight 3DCNN With Physics-Informed Constraints

Abstract: The dynamics simulation of complex railway vehicles requires a dedicated vehicle model, such as multi-body dynamics model. However, the multi-body model is time-consuming in long-distance ...
INSPIRE

Prospects and Constraints for Vector-like MFV Matter at LHC

We examine the prospects for LHC discovery of SU(2)_L singlet vector-like quarks that obey Minimal Flavour Violation (MFV) and are consistent with lower energy phenomenology. We study models where the ...
INSPIRE

Charged lepton G-2 and constraints on new physics

Part of Results and perspectives in particle physics. Proceedings, Les Rencontres de Physique de la Vallee d'Aoste, La Thuile, Italy, March 1 - 7, 1998 ...
GitHub

Adaptive PID Control for Robotic Systems via Hierarchical Meta-Learning and Reinforcement Learning with Physics-Based Data Augmentation

Official implementation of "Reinforcement Learning-Enhanced Model Predictive Control with Meta-Learning for Online Compensation of Dynamic Model Errors".