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A computational model successfully grasps the hard-to-detect transitional phases of chemical reactions.

A team of MIT scientists has developed a machine learning-based model to calculate transition states during chemical reactions, a process which normally requires quantum computing and can take hours or even days to complete. Transition states, which inevitably occur during reactions when molecules reach a particular energy threshold, were previously calculated through quantum chemistry’s density…

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A versatile approach designed to assist illustrators in enhancing their animation.

Researchers at MIT have developed a technique that could allow animators to have greater control over their characters. The method uses mathematical functions known as barycentric coordinates, which define how 2D and 3D shapes can bend, stretch, and move through space. This technique could provide artists with more flexibility in their animations, unlike previous techniques…

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A computational model successfully records the hard-to-track transitional phases of chemical reactions.

MIT researchers have developed a machine learning-based technique that can rapidly calculate the structures of fleeting transition states during chemical reactions. Identifying and understanding these quasi-instantaneous moments, when molecules have collected enough energy to proceed with reaction, is crucial to fields such as catalyst design and natural system research. With traditional quantum chemistry-based techniques, it…

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A versatile approach for assisting artists in enhancing animation.

An innovative technique introduced by MIT researchers could offer greater control to artists who create animations for films and video games. The researchers' method revolves around generating mathematical functions known as barycentric coordinates. These coordinates determine how 2D and 3D shapes can stretch, bend and move in space. This new technique is distinctive in its…

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The computational model successfully encapsulates the hard-to-capture transitional stages of chemical reactions.

In a breakthrough study at MIT, researchers have used machine learning (ML) to calculate the ephemeral transition state in chemical reactions, representing a significant step forward for computational chemistry. The transition state occurs when molecules in a reaction gain energy to the point where the reaction becomes irreversible. Researchers have struggled to observe this pivotal…

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A dynamic approach to assist animators in enhancing their artistry.

A new technique introduced by researchers from the Massachusetts Institute of Technology (MIT) could provide artists with enhanced control over their animated creations. This method uses mathematical functions known as barycentric coordinates, which define how 2D and 3D shapes can bend, stretch, and move through space. The procedure offers multiple options for barycentric coordinate functions,…

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The computational model accurately encapsulates the hard-to-detect transitional phases of chemical reactions.

Scientists at MIT have devised a machine learning-based method that can rapidly calculate the transitional states of molecules during a chemical reaction. The transient nature of these states has made observation particularly challenging. Understanding these states is key to developing catalysts or deciphering how natural systems induce specific changes. The MIT team constructed their computational approach…

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A versatile approach to assist animators in enhancing their craft.

MIT researchers have developed a technique that might allow animators to have more control over their creations. It leverages mathematical functions known as barycentric coordinates to define the way 2D and 3D shapes bend, stretch and move. It gives artists significant flexibility, allowing them to select functions that best fit their vision for the animation.…

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The computational model successfully captures the hard-to-detect transition states in chemical reactions.

During a chemical reaction, molecules gain energy until they reach a point known as the transition state, a pivotal moment where the reaction must proceed. The structures of these states can be determined using quantum chemistry methods, but these calculations are time-intensive. To tackle this issue, a team of MIT researchers developed a machine learning-based…

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A versatile answer designed to assist animators in enhancing their artwork.

Researchers from MIT have developed a method that could provide animators with greater control over their animations. This new technique generates mathematical functions known as barycentric coordinates, which define how 2D and 3D shapes can bend, stretch, and move through space. This allows the artist to determine the movements of animated objects according to their…

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The computational model successfully documents the hard-to-detect transition phases of chemical reactions.

During a chemical reaction, molecules gain energy until they reach a position termed the transition state. Existing at a level of energy where the reaction has no choice but to proceed, the transition state's transient nature makes it extremely difficult to observe experimentally. Its structures can be calculated using quantum chemistry-based techniques, but these are…

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