Information extraction and textual comprehension from materials literatu...
The time evolution of physical systems is described by differential
equa...
Neural networks (NNs) that exploit strong inductive biases based on phys...
Optimization of atomic structures presents a challenging problem, due to...
Recently, graph neural networks have been gaining a lot of attention to
...
Cement is the most used construction material. The performance of cement...
Due to their disordered structure, glasses present a unique challenge in...
Lagrangian and Hamiltonian neural networks (LNN and HNN respectively) en...
Neural networks with physics based inductive biases such as Lagrangian n...
Physical systems are commonly represented as a combination of particles,...
A crucial component in the curation of KB for a scientific domain is
inf...
Realistic models of physical world rely on differentiable symmetries tha...
An overwhelmingly large amount of knowledge in the materials domain is
g...
Most of the knowledge in materials science literature is in the form of
...