Computer Science Computing in math, engineering, physics or natural sciences
News
14 May 2026
Combined extreme climate events are likely to become more common in the future if carbon emissions continue to rise, a paper in Nature suggests.
12 May 2026
Dolphin secrets, Iron-rich Moon, Squeezing diamonds, Sweat the small stuff, Muonic molecules. Read all in the latest Editor's Choice. Plus: SciCom Coffee speaker.
28 Apr 2026
Researchers have solved a mystery in fluid dynamics regarding high-speed particle collisions on wet surfaces. They discovered that at high speeds, cavitation (the sudden formation of vapor cavities) changes the liquid shape from a "bridge" to a "dome", releasing the liquid pull-back force. This causes particles to bounce back stronger than they would at lower speeds. Such a vital discovery would drastically improve the safety, design, and durability of ultra-fast motors in the aerospace and automotive industries.
27 Apr 2026
Researchers from The University of Osaka used large-scale simulations and turbulence theory to study how dolphins swim so effectively. The team found that large vortices created by the dolphin’s tail provide most of the propulsion, while smaller vortices contribute little. This discovery improves our mechanical understanding of fast swimming and could guide the design of energy-efficient underwater robots and technologies for controlling turbulence.
21 Apr 2026
Wireless signals do not travel well through the human body, especially in high-frequency bands, such as the UWB band, making it difficult for swallowable medical devices to reliably send data outside the body. By accounting for how different frequencies behave in the body, researchers adjusted each part of the signal to match how it is absorbed and distorted by tissue, creating a stronger, clearer signal at the receiver.
21 Jan 2026
The largest ever reported database of dielectric material properties could speed up development of electronics like smartphones and energy storage systems.
21 Jan 2026
Understanding how tree-like structures that form in thin films could be the key to next-generation materials for beyond-5G communications technologies.
22 Dec 2025
New simulator and computational tool generate realistic “virtual tissues” and map cell-to-cell “conversations” from spatial transcriptomics data.
The tools could accelerate AI-driven discoveries in cancer, brain disorders and precision medicine by revealing which genes control how cells interact.
17 Dec 2025
A joint team from UOsaka has uncovered the core principles of the loss maximization in rotor-driven gas-liquid two-phase flows. Performing numerical simulations on the supercomputer "SQUID", they identified the causes as direct collisions between the rotor and the liquid surface and pressure imbalances around the rotor. The findings suggest that, in a resonant state, the enhanced fluid motion is drawn toward the front of the rotor, and the flow instability is intensified behind it. The insights from this research would open the possibility of improving energy efficiency, enhancing reliability and lifespan, and providing new design guidelines for various industrial applications.
14 Nov 2025
Untangling cosmic knots, Samurai jellyfish, Controlling rogue antibodies, Search for anti-ulcer vaccine & Metal-recovering yeast. Plus next SciCom coffee talk on experiences in science journalism in the AI era and WHO guide to reporting on non communicable diseases. Read all in the latest Editor's Choice.
14 Oct 2025
SOSE researchers are looking at a possible vaccine for H. pylori, a widely common bacterium that causes stomach ulcers and raises the risk for stomach cancer.
03 Apr 2025
New machine learning model cuts fluid simulation time from 45 minutes to 3
20 May 2024
Calculations consider how a dozen metals such as titanium combine with nitrogen or carbon to form bonds
28 Feb 2024
Experimental analysis and computer simulations reveal how woven fabric composite materials are deformed by heat.
14 Sep 2023
To address the lack of suitable training data for deep-learning semantic segmentation models in urban landscaping, researchers from Osaka University developed a method that generates a training dataset without the need for real images or a model of an existing city. The method, which is based on procedural modelling and image-to-image techniques, enables segmentation models to achieve comparable performance under some conditions at a fraction of the cost of real dataset generation.
11 Oct 2022
Researchers at The University of Tokyo simulated fractures in amorphous materials due to both cyclic fatigue and constant stress using course-grained dynamics, and demonstrated various failure modes, which can help improve reliability of materials
08 Sep 2022
To automatically generate data for training deep convolutional neural network models to segment building facades, researchers from Osaka University used a three-dimensional model and game engine to generate digital city twin synthetic training data. They found that a model trained on these data mixed with some real data was competitive with a model trained on real data alone, revealing the potential of digital twin data to improve accuracy and replace costly manually annotated real data.
04 Aug 2022
When the evolution of towns and of roads are modeled together, the natural landscape alone is enough to predict the actual arrangement of real towns.
22 Dec 2021
Scientists predict that continued global warming under current trends could lead to an elevation of the sea level by as much as five meters by the year 3000 CE.
02 Sep 2021
Researchers have developed a general quantum algorithm that can directly calculate the energy difference of an atom and molecule using a quantum computer. By avoiding the need to calculate the total molecular energies, the general algorithm is expected to be applied not only to quantum chemical calculations but also to various physical and mathematical problems, which are intractable with nowadays classical computers.
31 May 2021
High-resolution genome structural analyses combined with large-scale simulations show the arrangements of the genome’s spool-like structures affecting gene expression.
24 May 2019
As the move towards open science progresses, the relevance of data sharing and data management increases. In a survey of more than 1,000 researchers in Japan, 95% say they are sharing research data, but a majority of them share only privately among their peers.
10 Jul 2017
A systematic approach to selecting and configuring statistical models improves predictions of extreme events.
09 May 2017
Harnessing the potential of big data to improve the security of Internet of Things devices.
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Researchers
Dr. Umedjon Khalilov is a computational materials scientist with over 20 years of experience in atomistic modeling of nanostructures. His research integrates molecular dynamics (MD), Monte Carlo (MC), and density functional theory (DFT) simulations to investigate the synthesis, stability, and functionality of carbon-based and silicon-based nanomaterials. He has led or contributed to numerous international projects focused on hydrogen storage, carbon nanotube growth, and surface reactions in plasma environments. Dr. Khalilov is also actively involved in AI-driven materials discovery and collaborative platforms bridging simulation with experiment.
He has authored 40+ peer-reviewed publications in leading journals.
Dr. Mamta Agrawal
BSc. (Maths, Physics, Chemistry), MSc. (Mathematics),
DCA (Diploma in computer applications)
MCA (Masters in computer applications)
PHD (Mathematics and Computational Biology)
POST DOC (Mathematics and Computational Biology)
completed two research projects: 1. WOS-A (DST New Delhi) 2. Indo-Austria research Projuect (DST-BMWF)
Visited Abrod four countries Thiland, South Korea, Austria, Nepal
Paper Pulication-18
ChpterPublication-1
Book Publication-1
Patent- going on
Giants in history
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