Bin Li

Atomic Tuning in Electrically Conducting Bimetallic Organic Frameworks for Controllable Electromagnetic Wave Absorption

Renal histopathological analysis of 26 postmortem findings of patients with COVID-19 in China

A novel type of activation function in artificial neural networks: Trained activation function

Trends in extreme learning machines: A review

Synergistic Polarization Loss of MoS₂‐Based Multiphase Solid Solution for Electromagnetic Wave Absorption

Physics-informed neural networks for high-speed flows

NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

Activation functions in deep learning: A comprehensive survey and benchmark

Evaluating the effect of renewable energy investment on renewable energy development in China with panel threshold model

The ACE2/Angiotensin-(1–7)/MAS Axis of the Renin-Angiotensin System: Focus on Angiotensin-(1–7)

The nexus among green financial development and renewable energy: investment in the wake of the Covid-19 pandemic

Angiotensin-(1–1) Suppresses Hepatocellular Carcinoma Growth and Angiogenesis via Complex Interactions of Angiotensin II Type 1 Receptor, Angiotensin II Type 2 Receptor and Mas Receptor

Constructing 1T/2H MoS2 nanosheets/3D carbon foam for high-performance electromagnetic wave absorption

The extreme learning machine learning algorithm with tunable activation function

Green M&A, legitimacy and risk‐taking: evidence from China’s heavy polluters