Showing 20 articles starting at article 1
Categories: Chemistry: Organic Chemistry, Mathematics: Modeling
Published DNA tech offers both data storage and computing functions



Researchers have demonstrated a technology capable of a suite of data storage and computing functions -- repeatedly storing, retrieving, computing, erasing or rewriting data -- that uses DNA rather than conventional electronics. Previous DNA data storage and computing technologies could complete some but not all of these tasks.
Published Self-improving AI method increases 3D-printing efficiency



An artificial intelligence algorithm can allow researchers to more efficiently use 3D printing to manufacture intricate structures. The development could allow for more seamless use of 3D printing for complex designs in everything from artificial organs to flexible electronics and wearable biosensors. As part of the study, the algorithm learned to identify, and then print, the best versions of kidney and prostate organ models, printing out 60 continually improving versions.
Published Catalyst for 'one-step' conversion of methane to methanol



Scientists have engineered a highly selective catalyst that can convert methane, a major component of natural gas, into methanol, an easily transportable liquid fuel, in a single, one-step reaction. This direct process for methane-to-methanol conversion runs at a temperature lower than required to make tea and exclusively produces methanol without additional byproducts.
Published Extraterrestrial chemistry with earthbound possibilities



Who are we? Why are we here? We are stardust, the result of chemistry occurring throughout vast clouds of interstellar gas and dust. To better understand how that chemistry could create prebiotic molecules, researchers investigated the role of low-energy electrons created as cosmic radiation traverses through ice particles. Their findings may also inform medical and environmental applications on our home planet.
Published First visualization of valence electrons reveals fundamental nature of chemical bonding



The distribution of outermost shell electrons, known as valence electrons, of organic molecules was observed for the first time. As the interactions between atoms are governed by the valence electrons, the findings shine light on the fundamental nature of chemical bonds, with implications for pharmacy and chemical engineering.
Published Quality control: Neatly arranging crystal growth to make fine thin films



Researchers have succeeded in forming metal-organic framework thin films on a substrate while controlling the growth direction of crystals so that they are arranged neatly without gaps. The resulting thin films of unprecedented high quality can be expected for use as optical sensors, optical elements, and transparent gas adsorption sheets.
Published Molecular wires with a twist



Researchers have developed molecular wires with periodic twists. By controlling the lengths of regions between twists, the electrical conductivity of individual polymer chains can be enhanced. This work may lead to novel organic electronics or single-molecule wires.
Published 'Molecular compass' points way to reduction of animal testing



Machine learning models have become increasingly popular for risk assessment of chemical compounds. However, they are often considered 'black boxes' due to their lack of transparency. To increase confidence in these models, researchers proposed carefully identifying the areas of chemical space where these models are weak. They developed an innovative software tool for this purpose, and the results of this research approach have just been published.
Published A new reaction to enhance aromatic ketone use in chemical synthesis



Researchers develop a one pot process to transform aromatic ketones to esters, offering advancements in pharmaceutical synthesis and materials science.
Published Investigating the interplay of folding and aggregation in supramolecular polymer systems



Scientists have developed photoresponsive supramolecular polymers that can undergo both intrachain folding and interchain aggregation.
Published Peering into the mind of artificial intelligence to make better antibiotics



Artificial intelligence (AI) has exploded in popularity as of late. But just like a human, it's hard to read an AI model's mind. Explainable AI (XAI) could help us do just that by providing justification for a model's decisions. And now, researchers are using XAI to scrutinize predictive AI models more closely, which could help make better antibiotics.
Published AI model aids early detection of autism



A new machine learning model can predict autism in young children from relatively limited information. The model can facilitate early detection of autism, which is important to provide the right support.
Published Research provides a roadmap for improving electrochemical performance



A study expands understanding on how electrons move through the conductive parts of complex fluids found in electrochemical devices such as batteries. This work can help overcome existing knowledge gaps for engineers seeking to improve the performance of these devices.
Published Why do researchers often prefer safe over risky projects? Explaining risk aversion in science



A mathematical framework that builds on the economic theory of hidden-action models provides insight into how the unobservable nature of effort and risk shapes investigators' research strategies and the incentive structures within which they work, according to a new study.
Published Enhancing electron transfer for highly efficient upconversion OLEDs



Electron transfer is enhanced by minimal energetic driving force at the organic-semiconductor interface in upconversion (UC) organic light emitting diodes (OLEDs), resulting in efficient blue UC-OLEDs with low extremely turn-on voltage, scientists show. Their findings deepen the understanding of electron transfer mechanisms in organic optoelectronic devices and can lead to the development of efficient new optoelectronics without energy loss.
Published In subdivided communities cooperative norms evolve more easily



Researchers simulated social norms with a supercomputer. Their findings contribute to a deeper understanding of the evolution of social norms and their role in fostering cooperative behavior.
Published Leading AI models struggle to identify genetic conditions from patient-written descriptions



Researchers discover that while artificial intelligence (AI) tools can make accurate diagnoses from textbook-like descriptions of genetic diseases, the tools are significantly less accurate when analyzing summaries written by patients about their own health. These findings demonstrate the need to improve these AI tools before they can be applied in health care settings to help make diagnoses and answer patient questions.
Published Chemists synthesize plant-derived molecules that hold potential as pharmaceuticals



Chemists developed a way to synthesize complex molecules called oligocyclotryptamines, originally found in plants, which could hold potential as antibiotics, analgesics, or anticancer drugs.
Published Halogen bonding for selective electrochemical separation, path to sustainable chemical processing demonstrated



A team has reported the first demonstration of selective electrochemical separation driven by halogen bonding. This was achieved by engineering a polymer that modulates the charge density on a halogen atom when electricity is applied. The polymer then attracts only certain targets -- such as halides, oxyanions, and even organic molecules -- from organic solutions, a feature that has important implications for pharmaceuticals and chemical synthesis processes.
Published Think fast -- or not: Mathematics behind decision making



New research explains the mathematics behind how initial predispositions and additional information affect decision making.