Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
Advanced quantum computing-driven digital twin for energy and timing optimization in low-power VLSI circuits &IoT devices. [PDF]
Mujahid MM, Jose D.
europepmc +1 more source
Hardware-in-the-loop simulations for railway research
EDITORIAL: Hardware-in-the-loop simulation (HILS) is one of the high-tech approaches that combines theory, numerical simulation, software, digital communications, data acquisition, instrumentation and control to give a mechatronic system.
Colin Cole (9788021) +1 more
core
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
A unified CPG-based and multi-agent control framework for low-cost quadruped robots. [PDF]
Wu L, Zhang M, Wang W.
europepmc +1 more source
Generation of Probabilistic Bits by Exploiting Orthogonal Spin Currents in Magnetic Trilayers
Fe/Ti/CoFeB trilayers generate orthogonal spin currents that drive stochastic spin–orbit‐torque switching for probabilistic‐bit operation. The switching probability is continuously controlled by the in‐plane magnetic field and drive current, enabling tunable random bit generation.
Donghyeon Han +17 more
wiley +1 more source
Large-scale neuromorphic modeling of cortical networks on FPGA for investigating anesthetic-induced neural dynamics. [PDF]
Wang C +6 more
europepmc +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Data-Driven Steering Dynamics Modeling and Steering Angle Tracking Control for Self-Driving Vehicles: Simulation and Experiments on 2025 Nissan Leaf Electric Vehicle. [PDF]
Simpore F +9 more
europepmc +1 more source
This work reports on epitaxially grown Hf0.52Zr0.48O2 ferroelectric memristors with high stability (high durability exceeding 108 cycles and a retention time exceeding 104 s for 16 states) and ultra‐low operating energy consumption (∼121 fJ). A memristor array‐based reservoir computing system is constructed and applied for the first time in the field ...
Ying Liu +6 more
wiley +1 more source

